Battery Pack Balancing and Power Estimation

In this course, you will learn how to design balancing systems and to compute remaining energy and available power for a battery pack. By the end of the course, you will be able to:
- Evaluate different design choices for cell balancing and articulate their relative merits
- Design component values for a simple passive balancing circuit
- Use provided Octave/MATLAB simulation tools to evaluate how quickly a battery pack must be balanced
- Compute remaining energy and available power using a simple cell model
- Use provided Octave/MATLAB script to compute available power using a comprehensive equivalent-circuit cell model

중급 단계

완료하는 데 약 17시간 필요

영어

다음 전문 분야의 5개 강좌 중 5번째 강좌:

100% 온라인

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

중급 단계

Hours to complete

완료하는 데 약 17시간 필요

권장: 14 hours/week...

사용 가능한 언어

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

주

1

Hours to complete

완료하는 데 3시간 필요

Passive balancing methods for battery packs

In previous courses, you learned how to write algorithms to satisfy the estimation requirements of a battery management system. Now, you will learn how to write algorithms for two primary control tasks: balancing and power-limits computations. This week, you will learn why battery packs naturally become unbalanced, some balancing strategies, and how passive circuits can be used to balance battery packs.

Active balancing methods for battery packs

Passive balancing can be effective, but wastes energy. Active balancing methods attempt to conserve energy and have other advantages as well. This week, you will learn about active-balancing circuitry and methods, and will learn how to write Octave code to determine how quickly a battery pack can become out of balance. This is useful for determining the dominant factors leading to imbalance, and for estimating how quickly the pack must be balanced to maintain it in proper operational condition.

How to find available battery power using a simplified cell model

This week, we begin by reviewing the HPPC power-limit method from course 1. Then, you will learn how to extend the method to satisfy limits on SOC, load power, and electronics current. You will learn how to implement the power-limits computation methods in Octave code, and will see results for a representative scenario.

5.3.5: Summary of "How to find available battery power using a simplified cell model"; what next?1m

Reading5개의 읽기 자료

Notes for lesson 5.3.11m

Notes for lesson 5.3.21m

Notes for lesson 5.3.31m

Notes for lesson 5.3.41m

Notes for lesson 5.3.51m

Quiz5개 연습문제

Practice quiz for lesson 5.3.19m

Practice quiz for lesson 5.3.29m

Practice quiz for lesson 5.3.39m

Practice quiz for lesson 5.3.415m

Quiz for week 330m

주

4

Hours to complete

완료하는 데 4시간 필요

How to find available battery power using a comprehensive cell model

The HPPC method, even as extended last week, makes some simplifying assumptions that are not met in practice. This week, we explore a more accurate method that uses full state information from an xKF as its input, along with a full ESC cell model to find power limits. You will learn how to implement this method in Octave code and will compare its computations to those from the HPPC method you learned about last week.

5.4.5: Using simulation to compare and contrast different power-estimation methods12m

5.4.6: Concluding remarks for the specialization6m

Reading6개의 읽기 자료

Notes for lesson 5.4.11m

Notes for lesson 5.4.21m

Notes for lesson 5.4.31m

Notes for lesson 5.4.41m

Notes for lesson 5.4.51m

Notes for lesson 5.4.61m

Quiz6개 연습문제

Practice quiz for lesson 5.4.19m

Practice quiz for lesson 5.4.215m

Practice quiz for lesson 5.4.315m

Practice quiz for lesson 5.4.420m

Practice quiz for lesson 5.4.520m

Quiz for week 440m

주

5

Hours to complete

완료하는 데 5시간 필요

Future Battery-Management-System Algorithms

Present-day BMS algorithms primarily use equivalent-circuit models as a basis for estimating state-of-charge, state-of-health, power limits, and so forth. These models are not able to describe directly the physical processes internal to the cell. But, it is exactly these processes that are precursors to cell degradation and failure. This week quickly introduces some concepts that might motivate future BMS algorithms that use physics-based models instead.

강사

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Algorithms for Battery Management Systems 전문 분야 정보

In this specialization, you will learn the major functions that must be performed by a battery management system, how lithium-ion battery cells work and how to model their behaviors mathematically, and how to write algorithms (computer methods) to estimate state-of-charge, state-of-health, remaining energy, and available power, and how to balance cells in a battery pack....